Get access to all lessons in this course.
- Get Data Into the Right Format to Create your First Table
- Use better column names and a title
- Align columns
- Use groups instead of repetitive columns
- Format your table's numbers
- Add summaries
- Add additional horizontal lines
- Add background colors
- Change the text appearance
- Change cell properties
- Export Your Tables
- Heat map columns
- Adding Charts with Flextable
- Add your own ggplot
- Case Study
Making Beautiful Tables with R
Heat map columns
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This lesson is called Heat map columns, part of the Making Beautiful Tables with R course. This lesson is called Heat map columns, part of the Making Beautiful Tables with R course.
Transcript
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This lesson covers heat maps. These are tables where one, multiple or all cells have a background color which is chosen according to some numeric value Heat maps are great for helping your reader find the important values or the high or low values immediately.
bg_color_fct <- scales::col_numeric(palette = "viridis", domain = c(0, 30), na.color = 'white')
text_color_fct <- function(x) if_else(x < 20 & !is.na(x), 'white', 'black')
## Source needs to take the grouped data into account. That's why it's shifted by one.
final_table |>
bg(i = ~(year %in% 2007:2009), j = 2:7, bg = bg_color_fct, source = 3:8) |>
color(i = ~(year %in% 2007:2009), j = 2:7, color = text_color_fct,source = 3:8) Your Turn
Turn the 1957 and the 2007 columns (without the average and maximum rows) into a heatmap. Your background color function should use a domain from zero to 85. Also make sure that texts that correspond to values below 50 use white text and black text otherwise. Your table should look like this:
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